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Improved graph-based SFA: information preservation complements the slowness principle |
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| Authors: | Escalante-B Alberto N Wiskott Laurenz |
| Affiliation: | 1.Institut für Neuroinformatik, Ruhr-Universit?t Bochum, Universit?tsstra?e 150, 44801, Bochum, Germany ; |
| Abstract: | Machine Learning - Slow feature analysis (SFA) is an unsupervised learning algorithm that extracts slowly varying features from a multi-dimensional time series. SFA has been extended to supervised... |
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